| 501 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00017267905 |
| 1,250 |
DB-BERT: A Database Tuning Tool that "Reads the Manual" |
2022 |
SIGMOD |
0.00011339256 |
| 1,603 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2019 |
SIGMOD |
0.00010097649 |
| 1,800 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2018 |
VLDB |
9.6093317e-05 |
| 1,975 |
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex |
2022 |
VLDB |
9.2807031e-05 |
| 2,450 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
8.4474092e-05 |
| 2,524 |
Multi-Objective Parametric Query Optimization |
2015 |
VLDB |
8.3439125e-05 |
| 2,771 |
Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer |
2016 |
VLDB |
8.0369366e-05 |
| 3,139 |
Solving the Join Ordering Problem via Mixed Integer Linear Programming |
2017 |
SIGMOD |
7.6046928e-05 |
| 3,645 |
UDO: Universal Database Optimization using Reinforcement Learning |
2021 |
VLDB |
7.1397796e-05 |
| 4,442 |
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management |
2022 |
VLDB |
6.5988336e-05 |
| 4,980 |
An Incremental Anytime Algorithm for Multi-Objective Query Optimization |
2015 |
SIGMOD |
6.3293674e-05 |
| 5,066 |
Scrutinizer: Fact Checking Statistical Claims |
2020 |
VLDB |
6.2899476e-05 |
| 5,138 |
Verifying Text Summaries of Relational Data Sets |
2019 |
SIGMOD |
6.2579762e-05 |
| 5,199 |
Exact Cardinality Query Optimization with Bounded Execution Cost |
2019 |
SIGMOD |
6.2327836e-05 |
| 5,223 |
Approximation Schemes for Many-Objective Query Optimization |
2014 |
SIGMOD |
6.2212838e-05 |
| 5,357 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
6.1619918e-05 |
| 5,501 |
SemBench: A Benchmark for Semantic Query Processing Engines |
2026 |
VLDB |
6.1027188e-05 |
| 5,679 |
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
2020 |
VLDB |
6.0404239e-05 |
| 5,908 |
Quantum-Inspired Digital Annealing for Join Ordering |
2024 |
VLDB |
5.9506986e-05 |
| 6,071 |
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 |
2023 |
VLDB |
5.8962612e-05 |
| 6,860 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
5.6613762e-05 |
| 7,062 |
Towards NLP-Enhanced Data Profiling Tools |
2022 |
CIDR |
5.6101715e-05 |
| 7,104 |
Data Vocalization with CiceroDB |
2019 |
CIDR |
5.601767e-05 |
| 7,203 |
Mining Subjective Properties on the Web |
2015 |
SIGMOD |
5.5865623e-05 |
| 7,367 |
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning |
2023 |
VLDB |
5.5411636e-05 |
| 7,402 |
Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing |
2026 |
SIGMOD |
5.5357529e-05 |
| 7,657 |
Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero |
2020 |
VLDB |
5.4772833e-05 |
| 7,748 |
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets |
2019 |
VLDB |
5.4600562e-05 |
| 7,764 |
DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger |
2024 |
VLDB |
5.4564979e-05 |
| 8,016 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
5.4065977e-05 |
| 8,036 |
Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads |
2025 |
SIGMOD |
5.4025086e-05 |
| 8,232 |
Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning |
2021 |
SIGMOD |
5.3721763e-05 |
| 8,258 |
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” |
2021 |
VLDB |
5.3671363e-05 |
| 8,524 |
ROME: Robust Query Optimization via Parallel Multi-Plan Execution |
2024 |
SIGMOD |
5.3231221e-05 |
| 8,651 |
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation |
2026 |
VLDB |
5.2945994e-05 |
| 8,838 |
Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual |
2022 |
SIGMOD |
5.2670355e-05 |
| 8,850 |
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms |
2023 |
VLDB |
5.2645282e-05 |
| 8,971 |
A Fast Randomized Algorithm for Multi-Objective Query Optimization |
2016 |
SIGMOD |
5.2462912e-05 |
| 9,454 |
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads |
2026 |
SIGMOD |
5.1736782e-05 |
| 9,621 |
Parallelizing Query Optimization on Shared-Nothing Architectures |
2016 |
VLDB |
5.1497631e-05 |
| 10,973 |
Demonstrating GenDB: Instance-Optimized and Customized Query Processing Code Generation via LLM Agents |
2026 |
VLDB |
4.9793485e-05 |
| 10,998 |
Demonstrating TACT: Tunable Accuracy-Cost Trade-offs for Semantic Image Filtering |
2026 |
VLDB |
4.9793485e-05 |
| 11,149 |
Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,165 |
SwellDB: Dynamic Query-Driven Table Generation with Large Language Models |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,364 |
CEDAR: A System for Cost-Efficient Data-Driven Claim Verification |
2025 |
VLDB |
4.9793485e-05 |
| 11,806 |
Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning |
2023 |
VLDB |
4.9793485e-05 |
| 11,890 |
BABOONS: Black-Box Optimization of Data Summaries in Natural Language |
2022 |
VLDB |
4.9793485e-05 |
| 11,965 |
Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries |
2021 |
SIGMOD |
4.9793485e-05 |
| 12,008 |
Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries |
2021 |
VLDB |
4.9793485e-05 |